Evidence map›Paper›PMID 40813466›Full record

ArticleEuropean journal of clinical nutrition2025

Dietary diversity and the risk of metabolic syndrome in a Japanese population: an analysis of baseline cross-sectional data from the J-MICC study.

Zin Wai Htay, Nobuaki Michihata, Yohko Nakamura, Yoshitaka Hippo, Jun Otonari, Hiroaki Ikezaki, Yuichiro Nishida, Chisato Shimanoe, Takashi Tamura, Mako Nagayoshi and 14 more

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Article in European journal of clinical nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Zin Wai HtayCancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan.ORCID 0000-0002-7072-0287
Nobuaki MichihataCancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan. nmichihata@chiba-cc.jp.ORCID 0000-0003-3091-114X
Yohko NakamuraCancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan.
Yoshitaka HippoCancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan.
Jun OtonariDepartment of Psychosomatic Medicine Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Hiroaki IkezakiDepartment of Comprehensive General Internal Medicine, Kyushu University Faculty of Medical Sciences, Fukuoka, Japan.
Yuichiro NishidaDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan.ORCID 0000-0003-2320-7234
Chisato ShimanoeDepartment of Pharmacy, Saga University Hospital, Saga, Japan.ORCID 0000-0002-3561-9538
Takashi TamuraDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Mako NagayoshiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yasufumi KatoDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yudai TamadaDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Asahi HishidaDepartment of Public Health, Aichi Medical University, Nagakute, Japan.
Shiroh TanoueDepartment of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Daisaku NishimotoDepartment of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Teruhide KoyamaDepartment of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Etsuko OzakiDepartment of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Kiyonori KurikiLaboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan.
Naoyuki TakashimaDepartment of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Naoko MiyagawaDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0002-9148-1078
Sakurako Katsuura-KamanoDepartment of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
Takeshi WatanabeDepartment of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
Kenji WakaiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Keitaro MatsuoDivision of Cancer Epidemiology and Prevention, Aichi Cancer Center, Nagoya, Japan.ORCID 0000-0003-1761-6314

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the increasing burden of metabolic syndrome, it is crucial to focus on lifestyle factors to reduce the risk of metabolic syndrome.

objectivesThis study aims to quantify the associations between dietary diversity and the risk of metabolic syndrome among the Japanese population.

methodsThis study was conducted using baseline data from the Japan Multi-Institutional Collaborative Cohort (J-MICC) study. The baseline survey was conducted from 2005 to 2014 by recruiting individuals aged 35-69. Information regarding dietary intake and biometric measurements were obtained. Dietary Diversity Score (DDS) was calculated from the data based on the food frequency questionnaire. A multiple logistic regression analysis was conducted to analyze the association between DDS and metabolic syndrome.

resultsIn total, 75,332 participants were included for analysis. Inverse associations were observed between a high DDS and metabolic syndrome (adjusted odds ratio, 0.83 [95% confidential interval 0.76-0.92]). Likewise, a high DDS was associated with reduced odds of a high body mass index and hypertension. No significant associations were observed between the DDS and serum triglyceride, fasting blood glucose, or high-density lipoprotein cholesterol values.

conclusionThe findings of this study emphasize that dietary diversity has inversed associations with metabolic syndrome. Promoting a diverse and balanced diet can be a potential strategy for mitigating the burden of metabolic syndrome.

Indexed as

DietMetabolic SyndromeAdultAgedBody Mass IndexCohort StudiesCross-Sectional StudiesEast Asian PeopleFemaleHumansJapanMaleMiddle AgedRisk FactorsTriglyceridesTriglycerides

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.